The robust trajectory tracking control strategy accounts for model errors and external disturbances using linear feedback theory for the non-linear system, which ensures system stability and li.
利用非线性系统的线性反馈理论，考虑动力学建模的模型误差和外界干扰等不确定因素，提出了一种鲁棒轨迹跟踪控制策略。
This paper proposed a new class of robust adaptive decentralized control strategies based on nonlinear sliding mode for trajectory tracking of robot manipulators with uncertainties.
提出了一类基于非线性滑动模的鲁棒自适应分散控制策略，用于不确定性机器人的轨迹跟踪。
An adaptive neural sliding mode control strategy with the self-tuning of robust item coefficients is proposed for the trajectory tracking of non-holonomic wheeled mobile robots.
针对非完整移动机器人的轨迹跟踪控制问题，提出了一种鲁棒项系数自调整的神经网络滑模自适应控制策略。
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